.webp&w=3840&q=75)
Engineering - Data Analytics
The Engineering - Data Analytics Master’s Program at the University of Wisconsin is a two-year, part-time, online Master of Engineering program designed for professionals looking to enhance their expertise in the growing field of data analytics. This program provides students with a robust foundation in engineering principles, combined with advanced knowledge in data analysis, machine learning, and big data technologies. It is ideal for individuals seeking to develop the technical and analytical skills required to solve complex problems in industries such as manufacturing, technology, healthcare, and finance. Throughout the program, students will gain hands-on experience in using cutting-edge tools and methodologies for data collection, processing, and analysis, as well as an understanding of how to apply data-driven solutions to engineering challenges.
The curriculum combines the core principles of engineering with the advanced techniques of data science and analytics, covering topics such as statistical analysis, data mining, predictive modeling, and data visualization. Students will work with real-world datasets, gaining practical skills that can be directly applied in their current roles or in future positions as data-driven decision-makers. The flexible online format allows working professionals to balance their studies with their careers while interacting with a global network of peers and instructors. By the end of the program, graduates will be equipped with the tools to analyze large datasets, make data-driven decisions, and lead projects that optimize performance across industries.
Key information
Key Facts
- Program Title: Engineering - Data Analytics
- Degree Type: Master of Engineering
- Duration: 2 years
- Mode of Study: Part-time, Online
- Application Deadline: 01 December 2025
- Location: University of Wisconsin, United States
- Field of Study: General Engineering & Technology
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Data Analytics and Engineering
- Introduction to Data Analytics and Engineering Principles
- Statistical Methods for Engineers
- Programming for Data Analytics (Python, R)
- Data Visualization and Communication
Semester 2 – Advanced Data Analytics Techniques
- Machine Learning Algorithms and Applications
- Data Mining and Big Data Technologies
- Data Engineering and Data Infrastructure
- Predictive Analytics and Forecasting
Semester 3 – Specialized Topics in Data Analytics and Engineering Applications
- Advanced Data Modeling and Simulation Techniques
- Optimization Methods in Engineering and Data Science
- Data-Driven Decision Making in Engineering
- Real-World Case Studies in Data Analytics
Semester 4 – Capstone Project and Professional Development
- Independent Capstone Project in Data Analytics
- Advanced Topics in Data Engineering and Systems
- Industry Collaboration and Networking Opportunities
- Final Project Presentation and Professional Development
Career Opportunities
Graduates of the Engineering - Data Analytics Master’s Program at the University of Wisconsin are well-equipped to pursue diverse career opportunities in the rapidly growing field of data science and engineering analytics. With advanced knowledge in data analytics, machine learning, and engineering, graduates are prepared to work as data scientists, data engineers, business analysts, and machine learning engineers. Alumni find employment across a variety of industries, including manufacturing, automotive, technology, healthcare, and finance, where they apply data-driven solutions to optimize performance, improve decision-making, and increase efficiency. Many graduates also pursue leadership roles in data analytics teams or become consultants helping organizations implement data-driven strategies. With the growing reliance on data for decision-making, graduates of this program will be in high demand, capable of driving innovation and performance improvements in their respective fields.
Why Choose This Program
The Engineering - Data Analytics Master’s Program at the University of Wisconsin offers a flexible, part-time online learning experience tailored to working professionals who want to gain expertise in data analytics while continuing their careers. This two-year program combines the technical foundation of engineering with the advanced skills of data science, allowing students to solve real-world problems through data-driven approaches. The program provides practical experience with the latest tools and techniques in data mining, machine learning, and big data analytics, while also fostering critical thinking and problem-solving skills. With access to expert faculty, a global network of peers, and industry-relevant case studies, students can apply their learning directly to their jobs. Whether advancing within their current industry or shifting to a new role in data science or engineering, graduates of this program are prepared to lead and innovate in the world of engineering and data analytics.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 608-262-2433
Email: admissions@grad.wisc.edu
Address: 217 Bascom Hall, 500 Lincoln Drive, Madison, WI 53706, USA
